jinghuichen / Focused-Flip-Federated-Backdoor-Attack
Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
☆38Updated 2 years ago
Alternatives and similar repositories for Focused-Flip-Federated-Backdoor-Attack:
Users that are interested in Focused-Flip-Federated-Backdoor-Attack are comparing it to the libraries listed below
- ☆29Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆55Updated 4 months ago
- ☆51Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- ☆38Updated 4 years ago
- ☆27Updated last year
- ☆23Updated last year
- ☆15Updated 10 months ago
- ☆15Updated last year
- ☆69Updated 2 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆19Updated last year
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Updated 4 years ago
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆82Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆74Updated 2 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆36Updated 7 months ago
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆22Updated last year
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆13Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆40Updated 4 months ago
- Backdoor detection in Federated learning with similarity measurement☆23Updated 3 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- ☆36Updated last year
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆21Updated 10 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆33Updated 2 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆25Updated last year
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆20Updated last year
- ☆11Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year